Data Visualization

Vega is great. Hands-On Data Visualization Book is nice intro.

Nice examples

• America’s Highest Earners And Their Taxes Revealed

Notes

• Next time you want to lie with data, use areas. Next time you see a chart with areas, know you’re being lied to.

Links

• Vega - Declarative format for creating, saving, and sharing visualization designs. (Code)
• Vega-Lite - High-level grammar of interactive graphics. Provides a concise JSON syntax for rapidly generating visualizations to support analysis. (Code) (HN)
• Vega-Lite API - JavaScript API for Vega-Lite.
• Vega Editor
• VegaGraphs - Implements graph visualization with Vega-Lite.
• vega-bundler - Compile optimized Vega and Vega-Lite bundles.
• react-vega - Convert Vega spec into React class conveniently.
• altair_recipes - Collection of ready-made statistical graphics for vega.
• XVega - C++ API to Vega-Lite.
• Fundamentals of Data Visualization book (2019)
• Most cited scientific papers within data visualization (2019)
• Visualization of related subreddits
• Draco - Formal framework for representing design knowledge about effective visualization design as a collection of constraints.
• Observable - Magic notebook for visualization. (Product)
• Bl.ocks - Simple viewer for sharing code examples hosted on GitHub Gist.
• react-vis - Data Visualization Components.
• deck.gl - WebGL-powered framework for visual exploratory data analysis of large datasets.
• Flourish - Quickly turn your spreadsheets into stunning online charts, maps and interactive stories. (Twitter)
• Dash App Gallery
• Scientific Visualization: Python + Matplotlib Book (2021)
• Awesome Interactive Journalism
• SandDance - Visually explore, understand, and present your data.
• Bokeh - Interactive Data Visualization in the browser, from Python.
• In praise of scatter plots (2019)
• Perspective - Streaming pivot visualization via WebAssembly.
• Bar Chart Race, Explained (2019)
• owid-grapher - Interactive data visualizations done quickly.
• HoloViz - High-level tools to simplify visualization in Python.
• Datashader - Graphics pipeline system for creating meaningful representations of large datasets quickly and flexibly.
• Perception in Visualization
• Prize winning JS solution for the Telegram April 2019 coding contest
• New technique for making responsive, JavaScript-free charts (2020)
• HiPlot - Lightweight interactive visualization tool to help AI researchers discover correlations and patterns in high-dimensional data. (Article) (HN)
• Explorabl.es - Hub for learning through play. (HN) (Code)
• Interactive Data Visualization course (2020)
• Vega-Embed - Makes it easy to embed interactive Vega and Vega-Lite views into web pages.
• Facette - Time series data visualization software.
• Experimental 3D axis for matplotlib
• Our World in Data - Research and data to make progress against the world’s largest problems. (GitHub)
• PlotJuggler - QT5 based application to display time series in plots, using an intuitive "drag and drop" interface. (Web) (HN)
• Lightweight Charts - Financial lightweight charts built with HTML5 canvas.
• Glue - Python project to link visualizations of scientific datasets across many files. (Web) (Multi Dimensional Linked Data Exploration with Glue)
• Learning Observable
• BizCharts - Powerful data visualization library based on G2 and React.
• Bar Chart Race - Make animated bar chart races in Python with matplotlib. (Docs) (Article)
• Gallery of Concept Visualization - Features projects which use pictures to communicate complex and difficult ideas.
• Vida - Software tool that reads JSON files and turns them into compelling dashboards. (Code)
• Best of the visualization web (2020)
• Data Visualisation Catalogue (HN)
• Muze - Free data visualization library to create Tableau-like charts in browser.
• Beautiful News - Unseen trends, uplifting stats - daily.
• Data-Visualization Books Everyone Should Read
• Information is Beautiful
• e-sum - Visualization of exponential sums. (Code)
• Matplot++ - C++ Graphics Library for Data Visualization.
• How to pick more beautiful colors for your data visualizations (2020) (HN)
• Kyrix - Interactive details-on-demand data visualizations at scale.
• Dash Deck - Library for building 3D interactive maps and graphical visualizations directly in Dash.
• Apache ECharts - Powerful, interactive charting and data visualization library for browser. (Web)
• ECHARTS-GL - Extension pack of Apache ECharts, which providing 3D plots, globe visualization and WebGL acceleration.
• plotly.py - Interactive graphing library for Python (includes Plotly Express).
• Gnuplot 5 book
• Pandas Profiling - Create HTML profiling reports from pandas DataFrame objects.
• ImPlot - Immediate mode, GPU accelerated plotting library for Dear ImGui.
• Edward Tufte: Seeing with Fresh book (2020)
• Why We're Building Observable (2020) (HN)
• Global population density graphic (2020)
• Lux - Python API for Intelligent Visual Data Discovery.
• ETE (Environment for Tree Exploration) - Python programming toolkit that assists in the automated manipulation, analysis and visualization of phylogenetic trees. (Web)
• From data to Viz - Find the graphic you need. (Code)
• hvPlot - High-level plotting API for pandas, dask, xarray, and networkx built on HoloViews. (Docs)
• HoloViz - High-level tools to simplify visualization in Python. (GitHub)
• tikzplotlib - Convert matplotlib figures to TikZ/PGFplots for smooth integration into LaTeX.
• Chartify - Python library that makes it easy for data scientists to create charts.
• G6 - Graph Visualization Framework in TypeScript.
• Ask HN: What low-code “dashboarding“ SaaS would you recommend in 2021?
• Datashader - Quickly and accurately render even the largest data. (Docs)
• VisPy - Interactive scientific visualization in Python. (Web)
• ChartSeer - Visualization tool that helps analysts steer their exploratory visual analysis (EVA) through dynamic visualization and recommendation of charts.
• dygraphs - Interactive visualizations of time series using JavaScript and the HTML canvas tag. (Web)
• Raincloud Plots - Code and tutorials to visualise your data that is both beautiful and statistically valid.
• Data Visualization and the Modern Imagination (HN)
• Awesome visualization research
• RAWGraphs - Open web tool to create custom vector-based visualizations on top of the amazing d3.js library. (Code)
• Zeu.js - JavaScript library for real-time visualization. (Docs)
• Which color scale to use when visualizing data (2021)
• go-tsne - Go implementation of t-Distributed Stochastic Neighbor Embedding (t-SNE), a prize-winning technique for dimensionality reduction particularly well suited for visualizing high-dimensional datasets.
• Expose your private Grafana dashboards with TLS (2021)
• Dataviz Accessibility Resources
• Online text to diagram tools
• Serial Studio - Multi-purpose serial data visualization & processing program. (Web)
• Chartability - Methodology for ensuring that data visualizations, systems, and interfaces are accessible.
• Battle of the Python Dashboarding Giants: Streamlit vs. Dash vs. Voilà vs. Panel (2021) (HN)
• Semiotic - Data visualization framework combining React & D3. (Web)
• Grafar - JavaScript library for reactive, 3D mathematical visualization. (Web)
• Observable Plot - JavaScript library for exploratory data visualization. (Web) (HN) (Tweet) (Tweet)
• Dataflow - Self-hosted Observable notebook editor, with support for FileAttachments, Secrets, custom standard libraries, and more. (Web) (Demo) (HN)
• VisualDL - Deep Learning Visualization Toolkit.
• Creating Data: Deep scatterplots
• Awesome dataviz tools by Cube.js (Reddit)
• Framework for visualizing data encoded as JSON
• Railroad-diagram Generator - Small JS+SVG library for drawing railroad syntax diagrams, like on JSON.org.
• ProPlot - Lightweight matplotlib wrapper for making beautiful, publication-quality graphics. (Docs)
• Seaborn - Statistical data visualization in Python. (Web)
• dtreeviz - Python library for decision tree visualization and model interpretation.
• In defense of simple charts (2021) - Simple visualization types don’t need to be boring.
• Visualizing a codebase (2021) (Tweet) (Lobsters)
• Data Visualization with D3, JavaScript, React - Full Course (2021)
• clip - Create charts from the command line. (Web)
• Kroki - Creates diagrams from textual descriptions. (Code) (CLI)
• Awesome Charting
• Vizzu - Library for animated data visualizations and data stories.
• Yagr - High performance HTML5 canvas chart renderer based on uPlot. It provides high-level features for uPlot charts.
• Pandas_Alive - Animated plotting extension for Pandas with Matplotlib.
• Literate Visualization - Light-touch approach to designing, building and describing visualization. (Web)
• Irydium - Interactive documents and data visualizations in markdown. (Web)
• Data Visualization: attribute types and their graphical elements (2021)
• Mermaid Live Editor - Online FlowChart & Diagrams Editor. (Code)
• Percival - Declarative data query and visualization language. (Web)
• Ask HN: What is the best book on data visualization in 2021?
• Plotly.js - Open-source JavaScript charting library behind Plotly and Dash. (Docs)
• Data Commons - Aggregates data from a wide range of sources into a unified database to make it more accessible and useful.
• The Gamma - Tools for open data-driven storytelling. (GitHub)
• CapsNet-Visualization - Visualization of the CapsNet layers to better understand how it works.
• Gender Equality Creative Platform — Story - Branded data visualization system helps tell human stories about gender equality. (Tweet)
• Awesome Dataviz
• Awesome Web visualization frameworks
• The Science of Visual Data Communication: What Works (2021) (HN) (HN)
• Dash-by-Plotly - Dedicated to teaching Dash and Plotly.
• Data visualization: A view of every Points of View column (2013)
• chartpy - Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more.
• Constellation - Graph-focused data visualisation and interactive analysis application. (Web)
• Handbook of Graph Drawing and Visualization (2013) (HN)
• Data Visualization Curriculum - Data visualization curriculum of interactive notebooks, using Vega-Lite and Altair. (Code)
• Lumen - Framework for visual analytics, which allows users to build data-driven dashboards from a simple yaml specification.
• Datawrapper - Create charts, maps, and tables. (HN)
• VizHub - Platform for interactive graphics. (Code)
• Hal9 - Bring Your Data to Life. (Code)
• Bloxs - Display your data in an attractive way in your notebook.
• Dash Cytoscape - Dash component library for creating interactive and customizable networks in Python, wrapped around Cytoscape.js.
• Tools for visualizing a codebase (HN) (Code)
• Explained Visually - Making hard ideas intuitive inspired the work of Bret Victor's Explorable Explanations. (Code)
• VegaFusion - Serverside acceleration for the Vega visualization grammar.
• datasette-dashboards - Datasette plugin providing data dashboards from metadata.
• Webviz - Visualizing robotics data in the browser. (Code)
• Atlas - Visualization tool for creating customizable, interactive graphs in a browser using Python and Dash Cytoscape.
• Scalable Vega - Demo of scaling Vega to millions of records.
• gridviz - JavaScript library for visualizing large amounts of gridded data client-side, through the power of WebGL.
• tmap - Very fast visualization library for large, high-dimensional data sets.
• Mermaid - Generation of diagram and flowchart from text in a similar manner as markdown. (Docs) (HN)
• Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code Book (Code)
• datatile - Library for managing, validating, summarizing, and visualizing data.
• loaders.gl - Loaders for big data visualization.
• Troika JS - JavaScript framework for interactive 3D and 2D visualizations.
• bfc - Industrial-grade brainfuck compiler.
• catchart - Pipe something from command line to a chart in the browser.
• A Tiny Grammar of Graphics (HN)
• H2O Wave - Real time Web Apps and Dashboards for Python and R. (Web)
• MPL Plotter - Publication-quality data representation library based on Matplotlib.
• LovelyPlots - Style sheets to nicely format figures for scientific papers, thesis and presentations while keeping them fully editable in Adobe Illustrator.
• Friends Don't Let Friends Make Bad Graphs
• Visualize Value Archive
• Firefly: A browser-based interactive 3D data visualization tool for large data (2022) (HN)
• TUEplots - Extend matplotlib for scientific publications.
• DeepScatter - Deep Scatterplots for the Web.
• Streamlit Elements - Create a draggable and resizable dashboard in Streamlit, featuring Material UI widgets, Monaco editor (Visual Studio Code), Nivo charts, and more.
• Streamlit Component Templates - Templates and example code for creating Streamlit Components.
• Streamlit Plotly Events - Streamlit component that allows Plotly events to bubble back up to streamlit. Makes Plotly charts interactive.
• Awesome ggplot2
• Textnets - Text analysis with networks.